Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to thomaslevesque.com

Thomas Levesque's .NET Blog · ranked by shared content topics & relevance
66match
rohitsanjay.com
My blog | Rohit Sanjay
1 shared topicsprogramming-languages
66match
arkar.dev
Arkar's Blog
1 shared topicsprogramming-languages
66match
clopath.com
Baltermia | .NET & C++ Developer
1 shared topicsprogramming-languages
66match
piotrkozanowski.com
Piotr Kozanowski's blog
1 shared topicsprogramming-languages
65match
ktovoz.com
Kto's Blog - Personal Blog
1 shared topicsprogramming-languages
65match
dmehers.com
Damian Mehers’ blog | Swift, SwiftUI and .NET from Switzerland
1 shared topicsprogramming-languages
65match
theotherian.com
theotherian's blog
1 shared topicsprogramming-languages
65match
fatosmorina.com
Fatos Morina - Personal blog
1 shared topicsprogramming-languages
64match
guber.dev
Michael Guber | .NET & Python Developer
1 shared topicsprogramming-languages
64match
guberdev.com
Michael Guber | .NET & Python Developer
1 shared topicsprogramming-languages
64match
roblouie.com
roblouie | Thoughts, ideas, and tutorials on software development. Mostly JavaScript.
1 shared topicsprogramming-languages
64match
8-prime.dev
8-prime's Blog
1 shared topicsprogramming-languages
64match
1saeed.dev
Saeed Salehi
1 shared topicsprogramming-languages
64match
krishanv.com
Krishan V.
1 shared topicsprogramming-languages
64match
mauiman.dev
Samples, Templates, and Components for .NET MAUI.
1 shared topicsprogramming-languages
64match
matthiasbussonnier.com
Random Thoughts | Random Thoughts
1 shared topicsprogramming-languages
64match
nextdoorhacker.com
NextDoorHacker
1 shared topicsprogramming-languages
64match
andrunevchyn.com
Andrunevchyn - development routine
1 shared topicsprogramming-languages

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.